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Ratings and Reviews for Introduction to Data Science in Python

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Reviews and Ratings

4.5

23,484 Ratings from Coursera

Reviews

Very interesting subject and data science skills are definitely currently in demand. The only thing that bugged me was that the grader didn't give much feedback on anything you did wrong. On the flip side the mentors did a GREAT job (kudos to you guys). The discussion forums were vital and they were really well moderated.
Nice course! there is only one suggestion I want to send you, the video is so short that we can not learn the pandas more in the course. So I hope you can provide more detailed videos thanks.
This is very helpful course, my skills horned after undergoing through this sessions. My expertise and style of using python for data analysis changed. Articles and group discussions about P-hacking made me to realize the pitfalls, I may enter once I get addicted to proving my hypothesis correct. I got an idea, what better I can understand; when data speaks. I am waiting for next module of this course. Please start it as possible.
This course taught ma Pandas and Hypothesis test, which are very useful in my study and future work. For example, I learned how to sort values, merge tables, and reset indexes. And most parts is like SQL. Lectures will give some basic knowledge of the contents for each week. And this course also provide enough related documents, including codes and slides in classes. And it also has subtitle, which helps me a lot for my understanding. When I was doing assignment, I still need to search more information from internet and learn by myself. I think this is a great way to help me know how to solve problems by myself. I think it is also a little bit challenging for a beginner, so I suggest beginner to learn some basic knowledge before taking this course.
Perfect courses! With a lot of opportunities to practice and to learn from do questions by yourself. Mentors and staffs are also kindly to answer problems.
Good introduction of working with tabular data in Pandas dataframes. I've learnt how to access columns, rows, and specific values in a dataframe. How to transform the data. And how to merge dataframes together. The assignments are a lot of do-it-yourself by reading documentation and Q&A sites. So you're forced to read a lot, and learn more than actually necessary. Teacher and mentors gave hints on the discussion forum which helped. Could have been better if part of the solution is given. E.g. answer = 0.0073.........64 without actually giving the full answer. I also think the automatic grader should give an explanation or example of a correct answer when the assignment is answered correctly. It would have been better that way, because I could review the strengths and weaknesses of the methods I used to get to the answer.
Really good introductory course to Pandas. Teaching stuff was a big help and forums are very active and informative. Very good work. Area of improvement: The estimated timings of completion are too optimistic :)
The duration of the course (4 weeks) was ideal. It was manageable as a part time course. The tests helped me a lot to practice and learn the concepts deeply. The forums were very helpful in clarifying the questions. The video quality was great. Many thanks for this great course which is made available online for free for all the world.
Helpful
This course will be a great start for people to know about data science with python and get familiar with few simple data.

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